Enhanced Robotics and Data Connectivity Aim to Advance Agriculture

Fieldwork Robotics announced its collaboration with Australia’s leading grower and marketer of soft fruits and vegetables, Costa Group, to trial its newly launched AI-supported Fieldworker 1 autonomous harvesting robot. Costa seeks to reduce human labor and enhance operational efficiency across its berry farms. Fieldwork Robotics is building a comprehensive offering for its berry-growing customer base. The company believes its newest robot can save companies valuable time and operational costs through AI-backed precision picking and enhanced fruit picking speed. 

In other news, agribusiness-focused farm management solutions provider CropX announced the establishment of an application programming interface (API) between its agronomic farm management system and CNH Industrial machinery. 

Fieldwork Robotics' newest autonomous harvesting robot leverages AI and spectral frequency analysis to pick ripe berries as fast as a human worker. Image used courtesy of Fieldwork Robotics 

New Autonomous Harvesting Robot

Fieldwork Robotics says that its new Fieldworker 1 autonomous harvesting robot can pick berries with the speed and quality of a human worker. The Fieldworker 1 leverages advanced AI algorithms to discern berry ripeness and spectral frequency, which helps to remove human bias when picking. 

Spectral frequency analysis enables the robots to analyze berries and assess their ripeness without touching them, keeping them undamaged and reducing waste. Spectral frequency analysis can integrate with robot machine vision systems to combine spectral data and visual character (such as size, color, and shape) to target ripe berries for picking. Berries that look ripe because of their color can be weeded out from overripe or damaged ones. 

The AI-supported Fieldworker 1 provides real-time decision-making in picking operations, an adaptable, fruit-agnostic ripeness detection system, and a noninvasive, waste-reducing picking solution for growers. Customers can use the Fieldworker 1 as part of a unified fleet to minimize labor and maximize harvesting turnover.

The CropX system enables farmers to pool machine, satellite, and other data into a single platform for analysis and insight generation. Image used courtesy of CropX 

AI-Powered Farm Management

The CropX agronomic farm management system culminates data collected across various farm operations and pools them into a single platform for analysis, review, visualization, and insight generation. Customers can benefit from visualizations such as histograms and other statistical outputs relating to vegetation health indices, soil type, and more.

Users of the CropX system can manage and analyze spraying, tillage, seeding, harvest, and irrigation data, collecting this data in real time via satellites, soil sensors, farm machinery, and other inputs. Customers can also share output data and insights with customers and suppliers.

CNH equipment users can now access data via the CropX system. Image used courtesy of CropX

Cross-Company API for Data Connectivity

CropX has already extended its farm management system to connect with agricultural machinery and equipment supplier John Deere, specifically connecting to its Operations Center. Individuals with an Operations Center account can benefit from exchanging and sharing data bi-directionally. This setup makes field sensor data and analytics accessible. It allows customers to import field data from the Operations Center to assist in field setup and management in the CropX platform.

Now, CropX is integrating its management system expertise with CNH agricultural technology brands Case IH and New Holland. The API connection between the CropX management system and CNH agricultural technologies is intended to automate data transfer for visualization, planning, documentation, and variable-rate applications. With the CropX management platform, CNH customers can gain a broader view of farm operations and facilitate a new era of low-labor, waste-reductive, sustainable farming.